Time Doctor is a time tracking and productivity management platform that helps businesses monitor employee performance and optimize workflows.
Enhance your productivity data with AI Agents that can automate reporting, analyze trends, and deliver actionable insights.
Time Doctor delivers comprehensive time tracking and productivity monitoring. Relevance AI transforms this data into intelligent actions with AI Agents that can analyze patterns, generate insights, and automate reporting.
Automated Insights Generation
The agent can autonomously analyze time tracking data to produce insightful reports.
Dynamic Performance Analytics
Provides real-time analysis of employee productivity trends for informed decision-making.
Efficient Billing Automation
Streamlines invoicing processes by automatically calculating billable hours.
Relevance AI gives you access to Time Doctor's time tracking and productivity tools within your automated workflows.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- A Time Doctor account
- A Relevance AI account with access to your workspace
- Authorization (connect securely via OAuth—no manual credential storage)
Security & Reliability
The integration uses secure OAuth authentication, ensuring only authorized workflows access your Time Doctor data. Relevance AI handles API operations through Time Doctor's endpoints—managing tasks, time tracking, and user data seamlessly while maintaining strict security protocols.
Built-in validation and automatic data formatting ensure your time tracking workflows run reliably across teams and projects.
No training on your data
Your data remains private and is never utilized for model training purposes.
Security first
We never store anything we don’t need to. The inputs or outputs of your tools are never stored.
Best Practices for Non-Technical Users
To get the most out of the Time Doctor + Relevance AI integration without writing code:
- Configure proper authentication: Ensure OAuth credentials are correctly set up with appropriate permissions.
- Structure API requests: Use clear endpoint paths and consistent request methods (GET, POST, etc.).
- Monitor time tracking: Regularly verify that time data is being accurately captured and synced.
- Handle rate limits: Space out API calls and implement proper error handling for quota limits.
- Test integrations: Validate workflows with sample data before implementing in production.
